code: def __init__(self, topk=None, accuracy=False):
      if topk is None:
          topk = [1]
      super(ClassErrorMeter, self).__init__()
      self.topk = np.sort(topk)
      self.accuracy = accuracy
      self.reset()
  
file_path: pywick/pywick/meters/classerrormeter.py
imports: import numpy
  import torch
  import numbers
  from .None import meter
label_desc: Use image node_id 1 to create a new ClassErrorMeter object from inherited base classes: meter with example: obj = ClassErrorMeter(topk, accuracy)